Multi-player Gaming Application Based on Human Body Gesture Control
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-64847-2_1
Reference10 articles.
1. Metkar, S., Mahajan, J., Adsul, J., Chavan, B.: Human body gesture-controlled gaming application. In: 2022 Second International Conference on Next Generation Intelligent Systems (ICNGIS), pp. 1–6. IEEE, July 2022
2. Aly, S., Aly, W.: DeepArSLR: a novel signer-independent deep learning framework for isolated Arabic sign language gestures recognition. IEEE Access 8, 83199–83212 (2020). https://doi.org/10.1109/ACCESS.2020.2990699
3. Li, J., Ray, S., Rajanna, V., Hammond, T.: Evaluating the performance of machine learning algorithms in gaze gesture recognition systems. IEEE Access 10, 1020–1035 (2022). https://doi.org/10.1109/ACCESS.2021.3136153
4. Brock, H., Ponce Chulani, J., Merino, L., Szapiro, D., Gomez, R.: Developing a lightweight rock-paper-scissors framework for human-robot collaborative gaming. IEEE Access 8, 202958–202968 (2020). https://doi.org/10.1109/ACCESS.2020.3033550
5. Nguyen, H.-Q., et al.: Hand gesture recognition from Wrist-Worn camera for human-machine interaction. IEEE Access 11, 53262–53274 (2023). https://doi.org/10.1109/ACCESS.2023.3279845
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